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hispark-modelzoo-squeezenet1-1 – AI Model by shadow-cann | AlphaNeural AI
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SqueezeNet1_1
Squeezenet的设计采用了卷积替换、减少卷积通道数和降采样操作后置等策略,旨在在不大幅降低模型精度的前提下,最大程度的提高运算速度。
Mirror Metadata
Hugging Face repo: shadow-cann/hispark-modelzoo-squeezenet1-1
Portal model id: j3m99qggso00
Created at: 2026-03-16 19:24:13
Updated at: 2026-03-26 09:35:38
Category: 计算机视觉
Framework
PyTorch
Supported OS
OpenHarmony
Linux
Computing Power
Hi3403V100 SVP_NNN
Hi3403V100 NNN
Tags
分类
Detail Parameters
输入: 224x224
参数量: 1.235M
计算量: 0.715GFLOPs
Files In This Repo
squeezenet_om-A8W8.om (编译模型 / A8W8)
squeezenet.om (编译模型 / FP16; 编译模型 / OM 元数据 / A8W8)
squeezenet1_1-f364aa15.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
squeezenet.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
Upstream Links
Portal card:
https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=j3m99qggso00
Upstream repository:
https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/SqueezeNet1_1
License reference:
https://github.com/pytorch/vision/blob/v0.14.0/LICENSE
Notes
This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
File ownership follows the portal card mapping, not just filename similarity.
Cover image: 1700942720335875_sq.png